• 姓名：贾维嘉

• 职称：教授 博士生导师

• 研究方向：人工智能系统算法，网络空间实体对象传感，人机物融合知识图谱构建与大数据处理、下一代无线通信协议、物联网

• 邮箱：jiawj@bnu.edu.cn

教育背景与工作经历

• 1978-1982   中南大学计算机科学系，工学学士

• 1982-1984   中南大学计算机科学系，工学硕士

• 1987-1988   加拿大渥太华大学计算机科学系访问

• 1988-1991   中南大学计算机科学系讲师

• 1992-1993   比利时蒙斯理工学院，哲学博士学位

• 1993.8-1995.8   德国国家计算机科学中心（GMD)，博士后

• 1995.8-2013   香港城市大学计算机科学系全职教授，深圳研究院未来网络科技中心主任，计算机系课程委员会副主任

• 2014-2017   上海交通大学计算机科学与工程系致远讲习教授

• 2018-2020.6   澳门大学计算机讲座教授，数据科学中心主任，智慧城市物联网国家重点实验室副主任

• 2020.7-至今   北京师范大学珠海校区自然科学高等研究院，北师大-北师港浸大人工智能与未来网络研究院主任

研究概况

• 贾维嘉，教授，博士生导师，IEEE Fellow。研究方向为人工智能系统算法，网络空间实体对象传感，人机物融合知识图谱构建与大数据处理、下一代无线通信协议、物联网。在这些领域均取得了诸多国内外领先的研究成果。特别是在Anycast (选播) 路由协议研究领域和网络匹配方面进行了先驱性的研究，取得了很多国际领先的研究成果。近年在顶级国际杂志和学术会议上发表论文500多篇（Google H-index 53）。专著2部(一部由Springer出版)和参与了12部书籍的撰写。

• 2017年获教育部科技一等奖（2）；2016年获广东省科技进步一等奖；2005年获湖南省科技进步二等奖和IEEE国际会议最佳论文奖。获专利十五项(其中二项美国专利，其余中国专利)。主持多项澳门/香港政府科学基金和应用研究及发展基金。参与国家科技部973和863项目各两项。2016获中国国家自然基金委重点项目。设计和实现了物联网安全通信平台，实现了一系列多媒体传感器，手机及个人网关产品。以方便人们能够随时随地、简便地进行多媒体传感、通信、举行视频会议以及远程移动监控等。产品连续获2010，2011年深圳高科技展会最佳产品奖。担任IEEE国际学术会议程序主席、分会主席、程序委员。近年在IEEE，ACM国际学术会议上做特邀与大会报告多次。曾任IEEE TPDS和ComCom编委。

主要获奖与荣誉

• 2020年 IEEE Fellow

• 2017年 分布式系统资源调度与管理的理论与方法， 中国国家教育部科技进步一等奖（2）

• 2015年 广东省科技进步三等奖 (2)

• 2011-2012年 国际高科技展览会（深圳）最佳产品奖

• 2005年 2nd Prize of Science & Technology Award, Hunan Government, PR China.

近三年国际期刊论文代表作

• 1.     X. Zhang, T. Liu, P. Li, Weijia Jia*, H. Zhao, “Robust Neural Relation Extraction via Multi-Granularity Noises Reduction”, IEEE Transactions on Knowledge and Data Engineering，2020 （early access）.

• 2.     S Ma, S Guo, K Wang, W Jia, M Guo, "A Cyclic Game for Service-Oriented Resource Allocation in Edge Computing," IEEE Transactions on Services Computing, (accepted on 15.1.2020).

• 3.     Ke Gu, Na Wu, Bo Yin, Weijia Jia, “Secure Data Query Framework for Cloud and Fog Computing”, IEEE Transactions on Network and Service Management, 2019/9/17.

• 4.     Xuxun Liu, Tian Wang, Weijia Jia, Anfeng Liu, Kaikai Chi, “Quick Convex Hull-Based Rendezvous Planning for Delay-Harsh Mobile Data Gathering in Disjoint Sensor Networks, IEEE Transactions on Systems, Man, and Cybernetics: Systems, (accepted on 2019/9/19).

• 5.     T Wang, H Luo, W Jia*, A Liu, M Xie, “MTES: An intelligent Trust Evaluation Scheme in Sensor-Cloud enabled Industrial Internet of Things”, IEEE Transactions on Industrial Informatics, 16(3), 2020, pp.2054—2062.

• 6.     Tian Wang, and Weijia Jia, “Bidirectional Prediction based Underwater Data Collection Protocol for End-Edge-Cloud Orchestrated System”, IEEE Transactions on Industrial Informatics, 16(7), July 2020, pp.4791-4799.

• 7.     Y. Zhang, L. Cui, W. Jia, “Mystique: A Fine-grained and Transparent Congestion Control Enforcement Scheme”, IEEE Trans. Network and Service Management 16(4): 1869-1883 (2019).

• 8.     W. Yang, K. Wang, N. Ruan, W. Gao, Weijia Jia*, W. Zhao, N. Liu, and Y. Zhang, “Time-sync Video Tag Extraction Using Semantic Association Graph, ACM Trans on Knowledge Discover and Data, 2019 (accepted).

• 9.     Lin Cui, Fung Po Tso, Song Guo, Weijia Jia, Kaimin Wei, and Wei Zhao, “Enabling Heterogeneous Network Function Chaining”, IEEE Transactions on Parallel & Distributed Systems, 30 (4), 842-854, 2019.

• 10.   Zhiqing Tang, Xiaojie Zhou, Fuming Zhang, Weijia Jia, and Wei Zhao, “Migration Modeling and Learning Algorithms for Containers in Fog Computing”, IEEE Trans. Services Computing 12(5): 712-725 (2019)

• 11.   Tian Wang, Y. Li, G. Wang, J. Cao, M. Z. Bhuiyan, Weijia Jia, “Sustainable and Efficient Data Collection from WSNs to Cloud”, IEEE Transactions on Sustainable Computing, 4(2): 252-262 (2019).

• 12.   Weijia Jia, H Peng, N Ruan, Z Tang, W Zhao, “WiFind: Driver fatigue detection with fine-grained Wi-Fi signal features”, IEEE Transactions on Big Data, 2018.

近三年国际会议论文代表作

• 1.     Weijia Jia. Keynote Speech: "AI and Edge Computing(EC) for Smart City", ICICSP 2020.

• 2.     W. Yang, Weijia Jia, W. Yao, X. Zhou, Y. Luo, “Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments”, CIKM 2019.

• 3.     W. Yang, Weijia Jia*, X. Zhou, Y. Luo, “Legal Judgment Prediction via Multi-Perspective Bi-Feedback Network”, IJCAI 2019.

• 4.     Y. You, Weijia Jia*, T. Liu, W. Yang, Improving Abstractive Document Summarization with Salient Information Modeling, Proceedings of the 57th Conference of the Association for Computational Linguistics (ACL), 2132-2141, 2019/7.

• 5.     X. Zhang, P. Li, Weijia Jia*, H.Zhao, “Multi-labeled Relation Extraction with Attentive Capsule Network”, AAAI, 2019, 7484-7491.

• 6.     S Ma, S Guo, K Wang, W Jia, M Guo, A cyclic game for joint cooperation and competition of edge resource allocation, 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS).

• 7.     P. Li, X. Zhang, Weijia Jia∗, and H. Zhao, “GAN Driven Semi-distant Supervision for Relation Extraction”, The North American Chapter of the Association for Computational Linguistics, NAACL 2019, Minneapolis, USA, June 2 - 7, 2019.

• 8.     W. Yang, W. Gao, X. Zhou, Weijia Jia*, S. Zhang, Y. Luo, “Herding Effect based Attention for Personalized Time-Sync Video Recommendation”, IEEE International Conference on Multimedia and Expo (ICME), July 8-12, 2019, Shanghai, China.

• 9.     T. Liu, X. Zhang, W. Zhou and Weijia Jia*, Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning, Conference on Empirical Methods in Natural Language Processing (EMNLP), Oct. 31–Nov. 4, 2018, Brussels, Belgium.

• 10.     R. Deng, N. Ruan, R. Jin, Y. Lu, W. Jia, C Su, D Xu, SpamTracer: Manual Fake Review Detection for O2O Commercial Platforms by Using Geolocation Features, International Conference on Information Security and Cryptology, 384-403,2018.

• 11.   S. Ma, J. Ding and Weijia Jia, TransT: Type-based Multiple Embedding Representations for Knowledge Graph Completion, The European Conference on Machine Learning & Principles and Practice of Knowledge Discovery in Databases (Ecml-Pkdd2017), Skopje, Macedonia,18-22 September, 2017 (LNCS0534).